BA Applied Economics
BA Applied Economics offer a challenging curriculum that contains innovative teaching and evaluation methodology, and it ensures that the students are well trained in computational skills, statistical application, and economic concepts. The programme imparts effective training in the theoretical and analytical aspects and encourages students to be creative, analytical, and logical thinkers.
Eligibility for Admission
Candidates must have cleared their class 12 board examination from a recognised board of education such as CBSE, ICSE or equivalent State Boards. They must have secured a minimum aggregate score of 45%-50% in their qualifying examination.
HIGHLIGHTS
- International Research Mentorship Programme
- International and National Student Panel Discussion
- Workshop on Econometric Tools
- Shashank – Community Enrichment Programme
- International Conference
- Academic and Industrial Interactions
- Kautilya - Intercollegiate Fest
- Economia - Intra collegiate Fest
- Arthavista – E magazine
CAREER PROSPECTS
The programme offers exhilarating opportunities in both public and private sectors. Economics graduates can explore careers in the government sectors like Indian Economic Services, Indian Civil Services, Reserve Bank of India, National Sample Survey Office, Ministry of Economic Affairs, Planning Board, NITI Aayog, National Council for Economic Research and National Institute of Public Finance and Policy. In Private sector like Economic Advisors, Executives, Analysts, Consultants, Researchers, Financial Analysts, Business Analysts, Economic Research Analysts Stock Market Analysts, NBFCs, MNCs, BPOs, KPOs, and Business Journals. The programme also opens new corridors for the International institutions like World Bank, Asian Development Bank, IMF, Development Banks, Aid Agencies and Financial Consultancy Firms as well. The post-graduate candidates of economics are having a very dynamic platform for economic research and remarkable opportunities to enter the fields of academics, Colleges, Universities, and Research Institutes.
PROGRAMME MATRIX
CLICK HERE FOR SYLLABUS 2022
Course Code |
Course Title |
Second Language [Any One to be Opted]
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Language I |
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Language II |
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Micro Economic Theory and Application |
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Indian Economic Issues |
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Mathematical Methods for Economics |
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Economics of Business Environment |
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Digital Fluency |
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Yoga |
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Health and Wellness – Life Skills Approach |
Course Code |
Course Title |
Second Language [Any One to be Opted]
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Language I |
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Language II |
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Environmental Studies |
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Macro-Economic Theory and Application |
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Economic Development and Growth |
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Statistical Methods for Economics |
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Economics of Public policy |
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Sports |
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NSS/NCC/Red Cross/Cultural |
Course Code |
Course Title |
Second Language [Any One to be Opted]
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Language I |
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Language II |
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Monetary Economics |
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Industrial Economics |
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Computer Application using R |
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Artificial Intelligence |
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Contemporary Indian Economy |
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Sports |
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NSS/NCC/Red Cross/Cultural |
Course Code |
Course Title |
Second Language [Any One to be Opted]
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Language I |
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Language II |
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Constitution of India |
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Agriculture and Rural Development |
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Health Economics |
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Econometrics |
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Entrepreneurial Economics |
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Sports |
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NSS/NCC/Red Cross/Cultural |
Course Code |
Course Title |
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International Economics |
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Financial Economics |
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Environmental and Resource Economics |
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Economics of Human Resource Development / Gender Economics |
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Data Analysis using SPSS |
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Cyber Security |
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Sports |
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NSS/NCC/R & R (S & G)/Cultural |
Course Code |
Course Title |
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Behavioral Economics |
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Fiscal policy and practice |
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Data Analysis using Python |
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Financial Accounting |
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Professional Communication |
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Internship |
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Sports |
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NSS/NCC/Red Cross/Cultural |
Course Code |
Course Title |
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Advanced Microeconomics |
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Labour Markets and Institutions |
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Economics and Data Analytics |
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Economics of Banking and Insurance/Entrepreneurial Economics |
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Data Analysis using Gretl |
Course Code |
Course Title |
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Research Methodology |
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Advanced Macroeconomics |
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Advance Research Tools for Economic Analysis |
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Economics of Globalization/ Security and portfolio analysis |
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Data Analysis using E-Views |
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Research Project |